火力与指挥控制2026，Vol.51Issue(1)：117-124,132,9.DOI:10.3969/j.issn.1002-0640.2026.01.015
基于拍卖机制的无人集群动态任务规划方法
Dynamic Task Planning Method for Unmanned Swarm Based on Auction Mechanism
摘要
Abstract
A dynamic task planning method based on auction mechanism is proposed to address the common problems of high complexity of cluster behaviors and high communication costs of real-time decision-making for agents in unmanned swarm task planning.Research on resource allocation and consensus assignment methods based on auction mechanism guided by biological swarm characteristics is carried out to realize regional assembly and task assignment decision-making for large-scale heterogeneous agents.Compared with the traditional Cuckoo Search(CS)algorithm and Genetic Algorithm(GA),this method has stronger optimization ability,with the total revenue of task assignment decisions increased by 18.64%.It can achieve consistent allocation of multiple tasks,providing a potential solution for breaking through the bottleneck of high costs in information warfare.关键词
无人集群/任务规划/拍卖机制/区域集结/智能化Key words
unmanned swarm/task planning/auction mechanism/regional assembly/intelligence分类
军事科技引用本文复制引用
赵英凡,马跃东,曲俊海,刘子宸,王璞,张亚星..基于拍卖机制的无人集群动态任务规划方法[J].火力与指挥控制,2026,51(1):117-124,132,9.基金项目
"十四五"装备预研基金资助项目(50911030801) （50911030801）
